Prototype sensor system for analyzing frailty in older people: a pilot study

Authors

DOI:

https://doi.org/10.33448/rsd-v12i3.40649

Keywords:

Biomedical technology assessment; Frail elderly; Computer peripherals; Diagnostic equipment.

Abstract

Introduction: Frailty syndrome is characterized by reduced physical and cognitive reserves, making older people vulnerable to adverse events. This study describes a prototype sensor system developed for assessing frailty through physiological parameters and frailty markers. Methods: A prototype combining four sensors in network and a software package was developed and tested in four long-term care facility senior residents of both sexes, aged 60 and older, showing no locomotive syndrome or severe cognitive impairment. Three of them were frail and able to walk without aid (P1), holding onto the wall (P2) or with a cane (P3), and a non-frail participant (P4) walked without aid. Results: Regarding mean acceleration, P1 and P4 showed the lowest and highest values, respectively, on the antero-posterior axis; P4 had the lowest value on the medio-lateral axis; and P3 presented the highest value on the vertical axis. All participants showed similar roll angular velocity; P4 presented the lowest pitch angular velocity; and P1 and P4 had the highest mean yaw angular velocity. A sarcopenic participant (P2) exhibited the lowest force of muscle contraction. Conclusion: The device has potential to detect frailty markers for adverse outcomes in older people, such as postural instability and increased risk of falls.

Author Biography

Alexandre Carlos Brandão Ramos, Universidade Federal de Itajubá

Universidade Federal de Itajuba (UNIFEI)

References

ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories. (2002). ATS statement: guidelines for the six-minute walk test. Am J Respir Crit Care Med, 166 (1), 111-117. https://doi.org/10.1164/ajrccm.166.1.at1102

Bian, C., Ye, B., Chu, C. H., McGilton, K. S. & Mihailidis, A. (2020). Technology for home-based frailty assessment and prediction: A systematic review. Gerontechnology, 19 (3), 1-13. https://doi.org/10.4017/gt.2020.19.003.06

Bian. C., Ye, B. & Mihailidis, A. (2022). The Development and Concurrent Validity of a Multi-Sensor-Based Frailty Toolkit for In-Home Frailty Assessment. Sensors, 22, 3532. https://doi.org/10.3390/s22093532

Boxer, R. S., Wang, Z., Walsh, S. J., Hager, D. & Kenny, A. M. (2008). The utility of the 6-minute walk test as a measure of frailty in older adults with heart failure. Am J Geriatr Cardiol, 17 (1), 7-12. https://doi.org/10.1111/j.1076-7460.2007.06457.x

Chang, K. V., Hsu, T. H., Wu, W. T., Huang, K. C. & Han D. S. (2016). Association between sarcopenia and cognitive impairment: a systematic review and meta-analysis. J Am Med Dir Assoc, 17 (12), 1164.e7-1164.e15. https://doi.org/10.1016/j.jamda.2016.09.013

Chaves, P. H., Varadhan, R., Lipsitz, L. A. & et al. (2008). Physiological complexity underlying heart rate dynamics and frailty status in community-dwelling older women. J Am Geriatr Soc, 56 (9), 1698-1703. https://doi.org/10.1111/j.1532-5415.2008.01858.x

Cruz-Jentoft, A. J, Bahat, G., Bauer, J. & et al. (2019). Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing, 48 (1), 16-31. https://doi.org/10.1093/ageing/afy169

Da Mata, F. A., Pereira, P. P., Andrade, K. R., Figueiredo, A. C., Silva, M.T. & Pereira, M. G. (2016). Prevalence of frailty in Latin America and the Caribbean: a systematic review and meta-analysis. PLoS ONE, 11 (8), e0160019. https://doi.org/10.1371/journal.pone.0160019

Fleg, J. L., Morrell, C. H., Bos, A. G. & et al. (2005). Accelerated longitudinal decline of aerobic capacity in healthy older adults. Circulation, 112 (5), 674-682. https://doi.org/10.1161/CIRCULATIONAHA.105.545459

Fried, L. P., Tangen, C. M., Walston, J., & et al. (2001). Frailty in older adults: evidence for a phenotype. J GerontolA Biol Sci Med Sci, 56 (3), M146-M156. https://doi.org/10.1093/gerona/56.3.m146

Greene, B. R., Doheny, E. P., O’Halloran, A. & Kenny, R. A. (2014). Frailty status can be accurately assessed using inertial sensors and the TUG test. Age Ageing, 43 (3), 406-411. https://doi.org/10.1093/ageing/aft176

Hoogendijk, E. O., Afilalo, J., Ensrud, K. E., Kowal, P., Onder, G. & Fried, L.P. (2019). Frailty: Implications for Clinical Practice and Public Health. Lancet, 394, 1365-1375. https://doi.org/10.1016/S0140-6736(19)31786-6.

Ijaz, N., Buta, B., Xue, Q. & et al. (2022). Interventions for Frailty Among Older Adults With Cardiovascular Disease. J Am Coll Cardiol, 79 (5), 482–503.https://doi.org/10.1016/j.jacc.2021.11.029

Iwamura, M. & Kanauchi, M. (2017). A cross-sectional study of the association between dynapenia and higher-level functional capacity in daily living in community-dwelling older adults in Japan. BMC Geriatr, 17 (1), 1. https://doi.org/10.1186/s12877-016-0400-5

Kawakami, R., Murakami, H., Sanada, K. & et al. (2015). Calf circumference as a surrogate marker of muscle mass for diagnosing sarcopenia in Japanese men and women. Geriatr Gerontol Int, 15 (8), 969-976. https://doi.org/10.1111/ggi.12377

Landi, F., Onder, G., Russo, A. & et al. (2014). Calf circumference, frailty and physical performance among older adults living in the community. Clin Nutr,33 (3), 539-544. https://doi.org/10.1016/j.clnu.2013.07.013

Maresova, P., Javanmardi, E., Barakovic, S., Barakovic Husic, J., Tomsone, S., Krejcar, O. & Kuca, K. (2019). Consequences of Chronic Diseases and Other Limitations Associated with Old Age - A Scoping Review. BMC Public Health, 19, 1431. https://doi.org/10.1186/s12889-019-7762-5.

McDermid, R. C., Stelfox, H. T. &, Bagshaw, S. M. (2011). Frailty in the critically ill: a novel concept. Crit Care, 15 (1), 301. https://doi.org/10.1186/cc9297

Mello, A. C., Engstrom, E. M. & Alves, L. C. (2014). Health-related and socio-demographic factors associated with frailty in the elderly: a systematic literature review. Cad Saude Publica, 30 (6), 1-25. https://doi.org/10.1590/0102-311x00148213

Mello, J. L., Souza, D. M., Tamaki, C. M., Galhardo, V. A., Veiga, D. F. & Ramos, A. C. (2018). Application of an effective methodology for analysis of fragility and its components in the elderly. In: Latifi S, ed. Information Technology: New Generations - Advances in Intelligent Systems and Computing. New York: Springer, 735-739.

Moraes, E. M. & Moraes, F. L. (2010). Incapacidade Cognitiva: Abordagem Diagnóstica e Terapêutica das Demências no Idoso. Belo Horizonte: Folium.

Nunes, D. P., Duarte, Y. A., Santos, J.L. & Lebrão ML. (2015). Screening for frailty in older adults using a self-reported instrument. Rev Saude Publica. 49 (2), 1-9. https://doi.org/10.1590/s0034-8910.2015049005516

Podsiadlo, D. & Richardson, S. (1991). The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc, 39 (2), 142-148. https://doi.org/10.1111/j.1532-5415.1991.tb01616.x

Rolland, Y., Lauwers-Cances, V., Cournot. M. & et al. (2003). Sarcopenia, calf circumference, and physical function of elderly women: a cross-sectional study. J Am Geriatr Soc, 51 (8), 1120-1124. https://doi.org/10.1046/j.1532-5415.2003.51362.x

Savva, G. M., Donoghue, O. A., Horgan, F., O’Regan, C., Cronin, H. & Kenny RA. (2013). Using timed up-and-go to identify frail members of the older population. J Gerontol A Biol Sci Med Sci, 68 (4), 441-446. https://doi.org/10.1093/gerona/gls190

Schoon. Y., Bongers. K., Van Kempen, J., Melis, R. & Olde Rikkert, M. (2014). Gait speed as a test for monitoring frailty in community-dwelling older people has the highest diagnostic value compared to step length and chair rise time. Eur J Phys Rehabil Med, 50 (6), 693-701. https://www.minervamedica.it/en/journals/europa-medicophysica/article.php?cod=R33Y2014N06A0693.

Singh, D., Vinod, K., Saxena, S. C. & Deepak, K. K. (2006). Spectral evaluation of aging effects on blood pressure and heart rate variations in healthy subjects. J Med Eng Technol, 30 (3), 145-150. https://doi.org/10.1080/03091900500442855

Studenski, S., Perera, S., Patel, K. & et al. (2011). Gait speed and survival in older adults. JAMA, 305 (1), 50-58. https://doi.org/10.1001/jama.2010.1923

Vavasour, G., Giggins, O. M., Doyle, J. & et al. (2021). How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review. J NeuroEngineering Rehabil, 18, 112. https://doi.org/10.1186/s12984-021-00909-0

Zampogna, A., Mileti, I., Palermo, E., Celletti, C., Paoloni, M., Manoni, A. & et al. (2020). Fifteen years of wireless sensors for balance assessment in neurological disorders. Sensors (Switzerland), 20

Downloads

Published

05/03/2023

How to Cite

MELLO, J. L. de C. .; VEIGA, D. F. .; GALHARDO, V. Ângelo C. .; FERREIRA, L. M. .; TAMAKI, C. M. .; RAMOS, A. C. B. .; SOUZA, D. M. S. T. de . Prototype sensor system for analyzing frailty in older people: a pilot study. Research, Society and Development, [S. l.], v. 12, n. 3, p. e15712340649, 2023. DOI: 10.33448/rsd-v12i3.40649. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/40649. Acesso em: 23 nov. 2024.

Issue

Section

Health Sciences